Application Techniques of Digital Image Processing in Different Orbital Sensors
Remote sensing is an applied science in various fields of knowledge, which makes its use becoming more widespread. In recent years, the availability of free remote sensing data has also fueled this growth. Thus, the analysis processing techniques to improve the product becomes necessary to use the b...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | Brasil |
| Institución: | Universidade Federal do Rio de Janeiro (UFRJ) |
| Repositorio: | Anuário do Instituto de Geociências (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:www.revistas.ufrj.br:article/7009 |
| Acceso en línea: | https://revistas.ufrj.br/index.php/aigeo/article/view/7009 |
| Access Level: | acceso abierto |
| Palabra clave: | Water body; Remote sensing; Free geotechnologies; Sensor systems. Corpo d'água; Sensoriamento remoto; Geotecnologias gratuitas; Sistemas sensores. |
| Sumario: | Remote sensing is an applied science in various fields of knowledge, which makes its use becoming more widespread. In recent years, the availability of free remote sensing data has also fueled this growth. Thus, the analysis processing techniques to improve the product becomes necessary to use the best way the available data. Targeting this, the aim of this study was to evaluate the application of imaging techniques in different orbital sensors, analyzing delimitation capacity of water bodies. The processing techniques were performed spatial enhancement or image fusion, radiometric and atmospheric correction, processed in 5 different sensors: TM, ETM+, CCD, HRC and OLI. For the analysis of the results were used five water bodies of different proportions. The measurement of water bodies was carried out on all images subsequently being calculated imprecision rate. In two water bodies to some imprecision sensor rate was greater than 100%. |
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